Search ga_ls5t_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. to (exclusive):

Time when dataset was created (processed) From

Time when dataset was created (processed) to (exclusive)

The raw CRS string as it appears in metadata:

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. from:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm to (exclusive):

File format (GeoTiff, NetCDF):

GQA Circular error probable (90%) from:

GQA Circular error probable (90%) to (exclusive):

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Dataset UUID:

User who indexed the dataset:

When dataset was indexed:

Label:

A Landsat Collection 1 Level-1 product identifier including the Collection processing levels, processing date, collection number, and collection tier category (e.g. ‘LE07_L1TP_098084_20210307_20210308_02_RT’) :

A Landsat scene ID including WRS path and row, year and day, ground station identifier and archive version number (e.g. ‘LC80900852021066LGN00’) :

Latitude range from:

Latitude range to (exclusive):

Longitude range from:

Longitude range to (exclusive):

Full metadata document:

Metadata type name of dataset:

ID of a metadata type:

Spatial reference code from the provider. For Landsat region_code is a scene path row: '{:03d}{:03d}.format(path,row)' For Sentinel it is MGRS code. In general it is a unique string identifier that datasets covering roughly the same spatial region share. :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

60 results

Time (local)	Label
1987-07-13 09:06:09	ga_ls5t_ard_3-0-0_094074_1987-07-12_final
1988-02-23 09:54:24	ga_ls5t_ard_3-0-0_101075_1988-02-23_final
1988-10-12 10:45:05	ga_ls5t_ard_3-0-0_109076_1988-10-12_final
1989-03-01 11:08:37	ga_ls5t_ard_3-0-0_113075_1989-03-01_final
1989-03-19 10:55:08	ga_ls5t_ard_3-0-0_111074_1989-03-19_final
1989-03-24 09:33:27	ga_ls5t_ard_3-0-0_098071_1989-03-24_final
1989-09-17 10:15:13	ga_ls5t_ard_3-0-0_105075_1989-09-17_final
1990-06-01 10:52:26	ga_ls5t_ard_3-0-0_112074_1990-06-01_final
1990-10-04 10:20:56	ga_ls5t_ard_3-0-0_107074_1990-10-04_final
1990-12-11 09:54:22	ga_ls5t_ard_3-0-0_103070_1990-12-11_final
1990-12-28 09:05:29	ga_ls5t_ard_3-0-0_094086_1990-12-27_final
1991-01-26 08:33:50	ga_ls5t_ard_3-0-0_089082_1991-01-25_final
1991-09-21 08:50:50	ga_ls5t_ard_3-0-0_091085_1991-09-20_final
1991-10-09 10:13:51	ga_ls5t_ard_3-0-0_105076_1991-10-09_final
1991-10-21 10:38:41	ga_ls5t_ard_3-0-0_109076_1991-10-21_final
1991-11-13 10:44:31	ga_ls5t_ard_3-0-0_110075_1991-11-13_final
1992-02-13 09:28:40	ga_ls5t_ard_3-0-0_098071_1992-02-12_final
1992-10-03 11:01:45	ga_ls5t_ard_3-0-0_113078_1992-10-03_final
1993-01-19 09:45:34	ga_ls5t_ard_3-0-0_101073_1993-01-19_final
1993-07-06 08:57:14	ga_ls5t_ard_3-0-0_093074_1993-07-05_final
1993-08-19 10:58:02	ga_ls5t_ard_3-0-0_113067_1993-08-19_final
1993-08-22 09:56:02	ga_ls5t_ard_3-0-0_102082_1993-08-22_final
1993-10-12 08:47:30	ga_ls5t_ard_3-0-0_091081_1993-10-11_final
1994-03-21 08:45:00	ga_ls5t_ard_3-0-0_091079_1994-03-20_final
1994-09-04 08:51:06	ga_ls5t_ard_3-0-0_092088_1994-09-03_final
1994-09-14 09:19:32	ga_ls5t_ard_3-0-0_098067_1994-09-13_final
1994-10-11 09:07:48	ga_ls5t_ard_3-0-0_095086_1994-10-10_final
1995-06-11 09:23:41	ga_ls5t_ard_3-0-0_100072_1995-06-10_final
1995-07-10 10:34:20	ga_ls5t_ard_3-0-0_111082_1995-07-10_final
1995-10-25 10:07:46	ga_ls5t_ard_3-0-0_108075_1995-10-25_final
1995-11-27 09:09:45	ga_ls5t_ard_3-0-0_099069_1995-11-26_final
1996-02-16 08:25:23	ga_ls5t_ard_3-0-0_090083_1996-02-15_final
1997-01-07 09:45:00	ga_ls5t_ard_3-0-0_100083_1997-01-07_final
1997-02-06 09:53:08	ga_ls5t_ard_3-1-0_102069_1997-02-06_final
1998-04-08 10:44:51	ga_ls5t_ard_3-0-0_108075_1998-04-08_final
1998-11-04 08:59:59	ga_ls5t_ard_3-0-0_090086_1998-11-03_final
1999-01-03 09:17:19	ga_ls5t_ard_3-0-0_094067_1999-01-02_final
1999-02-11 09:29:36	ga_ls5t_ard_3-0-0_095082_1999-02-10_final
1999-11-10 11:01:12	ga_ls5t_ard_3-0-0_111072_1999-11-10_final
2003-07-06 10:26:04	ga_ls5t_ard_3-0-0_105076_2003-07-06_final
2003-11-03 09:38:23	ga_ls5t_ard_3-0-0_097076_2003-11-03_final
2004-03-10 09:40:13	ga_ls5t_ard_3-0-0_097078_2004-03-10_final
2004-08-27 10:17:58	ga_ls5t_ard_3-0-0_103069_2004-08-27_final
2004-11-13 10:34:26	ga_ls5t_ard_3-0-0_105075_2004-11-13_final
2004-12-12 10:03:20	ga_ls5t_ard_3-0-0_100073_2004-12-12_final
2005-08-28 09:02:36	ga_ls5t_ard_3-0-0_089085_2005-08-27_final
2006-04-30 09:21:22	ga_ls5t_ard_3-0-0_092076_2006-04-29_final
2006-06-22 11:18:46	ga_ls5t_ard_3-0-0_111074_2006-06-22_final
2006-09-16 10:43:13	ga_ls5t_ard_3-0-0_105075_2006-09-16_final
2007-01-04 09:18:30	ga_ls5t_ard_3-0-0_091077_2007-01-03_final
2007-01-28 10:08:52	ga_ls5t_ard_3-0-0_099079_2007-01-28_final
2007-02-07 09:07:29	ga_ls5t_ard_3-0-0_089080_2007-02-06_final
2007-03-17 10:10:27	ga_ls5t_ard_3-0-0_099083_2007-03-17_final
2007-05-20 10:07:35	ga_ls5t_ard_3-0-0_099077_2007-05-20_final
2007-07-23 11:46:24	ga_ls5t_ard_3-1-0_115079_2007-07-23_final
2007-08-30 11:07:44	ga_ls5t_ard_3-0-0_109076_2007-08-30_final
2008-04-08 09:36:18	ga_ls5t_ard_3-0-0_095073_2008-04-08_final
2008-11-27 11:00:47	ga_ls5t_ard_3-0-0_110067_2008-11-27_final
2010-11-03 09:24:05	ga_ls5t_ard_3-0-0_092088_2010-11-02_final
2010-11-30 10:36:25	ga_ls5t_ard_3-0-0_105068_2010-11-30_final

Return to ga_ls5t_ard_3 whole collection overview

ga_ls5t_ard_3: Geoscience Australia Landsat 5 Thematic Mapper Analysis Ready Data Collection 3

Baseline satellite data

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years